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Artificial Intelligence (AI)

Artificial intelligence, neural networks, foundation models, and reasoning systems.

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10 published transmissions

Tagged Transmissions[10 items]

Graph Topology Track 9/1/2026

Large Language Model Infrastructure: Building and Deploying Production AI Systems

Master production LLM infrastructure from token economics and GPU memory hierarchies to vLLM PagedAttention, continuous batching, quantization, speculative decoding, HNSW vector search, RAG pipelines, and autonomous agent execution engines.

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Signal Transmission 8/31/2026

Production-Ready AI: From Prototype to Enterprise RAG

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/30/2026

Vector Databases Explained: How Embeddings, Similarity Search, and AI Retrieval Really Work

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/30/2026

What Are Embeddings? How AI Represents Meaning as Mathematics

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/30/2026

CPU vs GPU vs TPU vs NPU: AI Hardware Architecture Guide 2026

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/30/2026

Kubernetes Orchestration: Scaling AI and ML Workloads

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/29/2026

WebGPU AI Inference: The Architecture of Browser-Native LLMs

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/29/2026

The Rise of On-Device AI Hardware: NPU Performance for AI-Native PCs

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/29/2026

Liquid Cooling for AI Servers and Data Center Power Consumption Limits

Shinde AdityaShinde Aditya@heyshinde
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Signal Transmission 8/29/2026

Nvidia Rubin vs. AMD MI355X: The Future of AI Inference vs. Training Chips

Shinde AdityaShinde Aditya@heyshinde
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